head to head · open source
Airbyte vs docetl
Airbyte has 22,082 GitHub stars, 5,350 forks, 2,395 open issues and last shipped yesterday. docetl has 4,097 stars, 443 forks, 45 open issues and last shipped 13 days ago. Airbyte leads on adoption by 439% (22,082 vs 4,097 stars). Airbyte is written in Python under a custom or non-standard licence; docetl is written in Python under MIT. Airbyte has attracted 24% as many forks as stars, docetl 11%. Airbyte was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (data, elt, etl), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| Airbyte | docetl | |
|---|---|---|
| GitHub stars | ★ 22K | ★ 4.1K |
| License | Custom / other | MIT |
| Written in | Python | Python |
| Last push | 2026-09-17 | 2026-09-05 |
| Forks | ⑂ 5.3K | ⑂ 443 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Airbyte if
- You weight community size — 22K stars and counting
- You want the Custom / other license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick docetl if
- You want the docetl feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and docetl fits your workflow better
About Airbyte
Airbyte open source data movement project. It lives in data engineering and data integration ecosystem. It moves data from APIs, databases, and files into warehouses, data lakes, and AI applications. It supports ELT and ETL pipelines. It also supports AI agents needing business data.
read the full Airbyte overview →
About docetl
DocETL is a Python system for agentic LLM powered data processing and ETL. It lives in the data engineering and document processing ecosystem, where pipelines must turn structured records and unstructured documents into queryable tables. Users describe each operation in natural language, and DocETL provides operators such as map, reduce, and filter, then orchestrates them across the data.
read the full docetl overview →
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Frequently asked questions
Is Airbyte or docetl more popular?
Airbyte has 22,082 GitHub stars and docetl has 4,097. Airbyte has the larger community by that measure.
Are Airbyte and docetl free?
Both are open source. Airbyte has no licence declared in this registry, and docetl is licensed under MIT. Both are free to self-host.
What is the difference between Airbyte and docetl?
Airbyte is written in Python and docetl in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, Airbyte or docetl?
Choose Airbyte if you want the larger community (22,082 stars) or its Custom / other licence terms. Choose docetl if its feature set, stack or MIT licence fits better. Both are self-hostable.